32 research outputs found

    Low-Noise Energy-Efficient Sensor Interface Circuits

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    Today, the Internet of Things (IoT) refers to a concept of connecting any devices on network where environmental data around us is collected by sensors and shared across platforms. The IoT devices often have small form factors and limited battery capacity; they call for low-power, low-noise sensor interface circuits to achieve high resolution and long battery life. This dissertation focuses on CMOS sensor interface circuit techniques for a MEMS capacitive pressure sensor, thermopile array, and capacitive microphone. Ambient pressure is measured in the form of capacitance. This work propose two capacitance-to-digital converters (CDC): a dual-slope CDC employs an energy efficient charge subtraction and dual comparator scheme; an incremental zoom-in CDC largely reduces oversampling ratio by using 9b zoom-in SAR, significantly improving conversion energy. An infrared gesture recognition system-on-chip is then proposed. A hand emits infrared radiation, and it forms an image on a thermopile array. The signal is amplified by a low-noise instrumentation chopper amplifier, filtered by a low-power 30Hz LPF to remove out-band noise including the chopper frequency and its harmonics, and digitized by an ADC. Finally, a motion history image based DSP analyzes the waveform to detect specific hand gestures. Lastly, a microphone preamplifier represents one key challenge in enabling voice interfaces, which are expected to play a dominant role in future IoT devices. A newly proposed switched-bias preamplifier uses switched-MOSFET to reduce 1/f noise inherently.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/137061/1/chaseoh_1.pd

    Ultra Low Power Analog Circuits for Wireless Sensor Node System.

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    This thesis will discuss essential analog circuit blocks required in ultra-low power wireless sensor node systems. A wireless sensor network system requires very high energy and power efficiency which is difficult to achieve with traditional analog circuits. First, 5.58nW real time clock using a DLL (Delay Locked Loop)-assisted pulse-driven crystal oscillator is discussed. In this circuit, the operational amplifier used in the traditional circuit was replaced with pulsed drivers. The pulse was generated at precise timing by a DLL. The circuit parts operate in different supply levels, generated on chip by using a switched capacitor network. The circuit was tested at different supply voltage and temperature. Its frequency characteristic along with power consumption were measured and compared to the traditional circuit. Next, a Schmitt trigger based pulse-driven crystal oscillator is discussed. In the first chapter, a DLL was used to generate a pulse with precise timing. However, testing results and recent study showed that the crystal oscillator can sustain oscillation even with inaccurate pulse timing. In this chapter, pulse location is determined by the Schmitt trigger. Simulation results show that this structure can still sustain oscillation at different process corners and temperature. In the next chapter, a sub-nW 8 bit SAR ADC (Successive Approximation Analog-to-Digital Converter) using transistor-stack DAC (Digital-to-Analog Converter) is discussed. To facilitate design effort and reduce the layout dependent effect, a conventional capacitive DAC was replaced with transistor-stack DAC with a 255:1 multiplexer. The control logic was designed with both TSPC (True Single Phase Clock) and CMOS logic to minimize transistor count. The ADC was implemented in a 65nm CMOS process and tested at different sampling rates and input signal frequency. Its linearity and power consumption was measured. Also, a similar design was implemented and tested using 180nm CMOS process as part of a sensor node system. Lastly, a multiple output level voltage regulator using a switched capacitor network for low-cost system is discussed.PhDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111626/1/dmyoon_1.pd

    Low-Cost Compact Integrated Rectenna for Implantable Medical Receivers

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    This work describes a novel fully integrated rectenna circuit using tunnelling-based devices for implanted medical devices. An ASPAT (Asymmetric Spacer Layer Tunnel Diode) was used as the active rectifier due to its high non-linearity and temperature insensitivity features. A miniaturized geometry rectenna ( 1×5 mm 2 ) with improved matching characteristics was demonstrated, by integrating a Cockcroft-Walton rectifier with an L-shaped planar folded antenna structure operating at ISM frequency bands. The circuit performance was experimentally explored at various separation distance between transmitter and receiver units. For a 5cm transmission set-up, the rectenna with a single-stage rectifier delivered 0.8V output at 20dBm transmit power. An extended doubler configuration exhibited enhanced performance when multiple stages are used, is predicted to reach 0.24mW output power at 23dBm transmit power and yielding ~1.6V output voltage with an efficiency of 0.12%. These findings can assist in compensating for the degraded antenna gain attributed to the extremely small effective-radiating area of 0.04λ . Furthermore, the ability of controlling the antenna input impedance helps in circumventing the requirement for a matching circuitry thereby offering further reduction in chip size.UWIPOM2 project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857654

    Digital-based analog processing in nanoscale CMOS ICs for IoT applications

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    The Internet-of-Things (IoT) concept has been opening up a variety of applications, such as urban and environmental monitoring, smart health, surveillance, and home automation. Most of these IoT applications require more and more power/area efficient Complemen tary Metal–Oxide–Semiconductor (CMOS) systems and faster prototypes (lower time-to market), demanding special modifications in the current IoT design system bottleneck: the analog/RF interfaces. Specially after the 2000s, it is evident that there have been significant improvements in CMOS digital circuits when compared to analog building blocks. Digital circuits have been taking advantage of CMOS technology scaling in terms of speed, power consump tion, and cost, while the techniques running behind the analog signal processing are still lagging. To decrease this historical gap, there has been an increasing trend in finding alternative IC design strategies to implement typical analog functions exploiting Digital in-Concept Design Methodologies (DCDM). This idea of re-thinking analog functions in digital terms has shown that Analog ICs blocks can also avail of the feature-size shrinking and energy efficiency of new technologies. This thesis deals with the development of DCDM, demonstrating its compatibility for Ultra-Low-Voltage (ULV) and Power (ULP) IoT applications. This work proves this state ment through the proposing of new digital-based analog blocks, such as an Operational Transconductance Amplifiers (OTAs) and an ac-coupled Bio-signal Amplifier (BioAmp). As an initial contribution, for the first time, a silicon demonstration of an embryonic Digital-Based OTA (DB-OTA) published in 2013 is exhibited. The fabricated DB-OTA test chip occupies a compact area of 1,426 µm2 , operating at supply voltages (VDD) down to 300 mV, consuming only 590 pW while driving a capacitive load of 80pF. With a Total Harmonic Distortion (THD) lower than 5% for a 100mV input signal swing, its measured small-signal figure of merit (FOMS) and large-signal figure of merit (FOML) are 2,101 V −1 and 1,070, respectively. To the best of this thesis author’s knowledge, this measured power is the lowest reported to date in OTA literature, and its figures of merit are the best in sub-500mV OTAs reported to date. As the second step, mainly due to the robustness limitation of previous DB-OTA, a novel calibration-free digital-based topology is proposed, named here as Digital OTA (DIG OTA). A 180-nm DIGOTA test chip is also developed exhibiting an area below the 1000 µm2 wall, 2.4nW power under 150pF load, and a minimum VDD of 0.25 V. The proposed DIGOTA is more digital-like compared with DB-OTA since no pseudo-resistor is needed. As the last contribution, the previously proposed DIGOTA is then used as a building block to demonstrate the operation principle of power-efficient ULV and ultra-low area (ULA) fully-differential, digital-based Operational Transconductance Amplifier (OTA), suitable for microscale biosensing applications (BioDIGOTA) such as extreme low area Body Dust. Measured results in 180nm CMOS confirm that the proposed BioDIGOTA can work with a supply voltage down to 400 mV, consuming only 95 nW. The BioDIGOTA layout occupies only 0.022 mm2 of total silicon area, lowering the area by 3.22X times compared to the current state of the art while keeping reasonable system performance, such as 7.6 Noise Efficiency Factor (NEF) with 1.25 µVRMS input-referred noise over a 10 Hz bandwidth, 1.8% of THD, 62 dB of the common-mode rejection ratio (CMRR) and 55 dB of power supply rejection ratio (PSRR). After reviewing the current DCDM trend and all proposed silicon demonstrations, the thesis concludes that, despite the current analog design strategies involved during the analog block development

    A Capacitance-To-Digital Converter for MEMS Sensors for Smart Applications

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    The use of MEMS sensors has been increasing in recent years. To cover all the applications, many different readout circuits are needed. To reduce the cost and time to market, a generic capacitance-to-digital converter (CDC) seems to be the logical next step. This work presents a configurable CDC designed for capacitive MEMS sensors. The sensor is built with a bridge of MEMS, where some of them function with pressure. Then, the capacitive to digital conversion is realized using two steps. First, a switched-capacitor (SC) preamplifier is used to make the capacitive to voltage (C-V) conversion. Second, a self-oscillated noise-shaping integrating dual-slope (DS) converter is used to digitize this magnitude. The proposed converter uses time instead of amplitude resolution to generate a multibit digital output stream. In addition it performs noise shaping of the quantization error to reduce measurement time. This article shows the effectiveness of this method by measurements performed on a prototype, designed and fabricated using standard 0.13 mu m CMOS technology. Experimental measurements show that the CDC achieves a resolution of 17 bits, with an effective area of 0.317 mm(2), which means a pressure resolution of 1 Pa, while consuming 146 mu A from a 1.5 V power supply.This work has been funded by Marie Curie project SIMIC, Grant Agreement No. 610484, funded by grants from the European Union (Research Executive Agency) and TEC2014-56879-R of CICYT, Spain.Publicad

    Low power predictable memory and processing architectures

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    Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally

    Contribution to time domain readout circuits design for multi-standard sensing system for low voltage supply and high-resolution applications

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    Mención Internacional en el título de doctorThis research activity has the purpose of open new possibilities in the design of capacitance-to-digital converters (CDCs) by developing a solution based on time domain conversion. This can be applied to applications related with the Internet-of-Things (IoT). These applications are present in any electronic devices where sensing is needed. To be able to reduce the area of the whole system with the required performance, micro-electromechanical systems (MEMS) sensors are used in these applications. We propose a new family of sensor readout electronics to be integrated with MEMS sensors. Within the time domain converters, Dual Slope (DS) topology is very interesting to explore a new compromise between performances, area and power consumption. DS topology has been extensively used in instrumentation. The simplicity and robustness of the blocks inside classical DS converters it is the main advantage. However, they are not efficient for applications where higher bandwidth is required. To extend the bandwidth, DS converters have been introduced into ΔΣ loops. This topology has been named as integrating converters. They increase the bandwidth compare to classical DS architecture but at the expense of higher complexity. In this work we propose the use of a new family of DS converters that keep the advantages of the classical architecture and introduce noise shaping. This way the bandwidth is increased without extra blocks. The Self-Compensated noise-shaped DS converter (the name given to the new topology) keeps the signal transfer function (STF) and the noise transfer function (NTF) of Integrating converters. However, we introduce a new arrangement in the core of the converter to do noise shaping without extra circuitry. This way the simplicity of the architecture is preserved. We propose to use the Self-Compensated DS converter as a CDC for MEMS sensors. This work makes a study of the best possible integration of the two blocks to keep the signal integrity considering the electromechanical behavior of the sensor. The purpose of this front-end is to be connected to any kind of capacitive MEMS sensor. However, to prove the concepts developed in this thesis the architecture has been connected to a pressure MEMS sensor. An experimental prototype was implemented in 130-nm CMOS process using the architecture mentioned before. A peak SNR of 103.9 dB (equivalent to 1Pa) has been achieved within a time measurement of 20 ms. The final prototype has a power consumption of 220 μW with an effective area of 0.317 mm2. The designed architecture shows good performance having competitive numbers against high resolution topologies in amplitude domain.Esta actividad de investigación tiene el propósito de explorar nuevas posibilidades en el diseño de convertidores de capacitancia a digital (CDC) mediante el desarrollo de una solución basada en la conversión en el dominio del tiempo. Estos convertidores se pueden utilizar en aplicaciones relacionadas con el mercado del Internet-de-las-cosas (IoT). Hoy en día, estas aplicaciones están presentes en cualquier dispositivo electrónico donde se necesite sensar una magnitud. Para poder reducir el área de todo el sistema con el rendimiento requerido, se utilizan sensores de sistemas micro-electromecánicos (MEMS) en estas aplicaciones. Proponemos una nueva familia de electrónica de acondicionamiento para integrar con sensores MEMS. Dentro de los convertidores de dominio de tiempo, la topología del doble-rampa (DS) es muy interesante para explorar un nuevo compromiso entre rendimiento, área y consumo de energía. La topología de DS se ha usado ampliamente en instrumentación. La simplicidad y la solidez de los bloques dentro de los convertidores DS clásicos es la principal ventaja. Sin embargo, no son eficientes para aplicaciones donde se requiere mayor ancho de banda. Para ampliar el ancho de banda, los convertidores DS se han introducido en bucles ΔΣ. Esta topología ha sido nombrada como Integrating converters. Esta topología aumenta el ancho de banda en comparación con la arquitectura clásica de DS, pero a expensas de una mayor complejidad. En este trabajo, proponemos el uso de una nueva familia de convertidores DS que mantienen las ventajas de la arquitectura clásica e introducen la configuración del ruido. De esta forma, el ancho de banda aumenta sin bloques adicionales. El convertidor Self-Compensated noise-shaped DS (el nombre dado a la nueva topología) mantiene la función de transferencia de señal (STF) y la función de transferencia de ruido (NTF) de los Integrating converters. Sin embargo, presentamos una nueva topología en el núcleo del convertidor para conformar el ruido sin circuitos adicionales. De esta manera, se preserva la simplicidad de la arquitectura. Proponemos utilizar el Self-Compensated noise-shaped DS como un CDC para sensores MEMS. Este trabajo hace un estudio de la mejor integración posible de los dos bloques para mantener la integridad de la señal considerando el comportamiento electromecánico del sensor. El propósito de este circuito de acondicionamiento es conectarse a cualquier tipo de sensor MEMS capacitivo. Sin embargo, para demostrar los conceptos desarrollados en esta tesis, la arquitectura se ha conectado a un sensor MEMS de presión. Se ha implementado dos prototipos experimentales en un proceso CMOS de 130-nm utilizando la arquitectura mencionada anteriormente. Se ha logrado una relación señal-ruido máxima de 103.9 dB (equivalente a 1 Pa) con un tiempo de medida de 20 ms. El prototipo final tiene un consumo de energía de 220 μW con un área efectiva de 0.317 mm2. La arquitectura diseñada muestra un buen rendimiento comparable con las arquitecturas en el dominio de la amplitud que muestran resoluciones equivalentes.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Pieter Rombouts.- Secretario: Alberto Rodríguez Pérez.- Vocal: Dietmar Strãußnig

    Low-Power Delta-Sigma Modulators for Medical Applications

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    Design of agile signal conditioning circuits for microelectromechanical sensors

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    Microelectromechanical systems (MEMS) are used in many applications to detect physical parameters and convert them to an electrical signal. The output of MEMS-based transducers is usually not suitable to be directly processed in the digital or the analog domain, and they could be as small as femto farads in capacitive sensing and micro volts in resistive sensing. Consequently, high sensitivity signal conditioning circuits are essential. In this thesis, it is shown that both the noise and input capacitance are important parameters to ensure optimal capacitive sensing. The dominant noise source in MEMS conditioning circuits is flicker noise, and one of the best methods to mitigate flicker noise is the chopping technique. Three different chopping techniques are considered: single chopper amplifier (SCA), dual chopper amplifier (DCA), and two-stage single chopper amplifier (TCA). Also, their sensitivity and power consumption based on the total gain and sensing capacitance are extracted. It is shown that the distribution of gain between the two stages in the DCA and TCA has a significant effect on the sensitivity, and, based on this distribution, the sensitivity and power consumption change significantly. For small sensor capacitances, the highest sensitivity could be achieved by a DCA because of its ability to decrease the noise floor and the input sensor capacitance simultaneously. A novel DCA is proposed to reach higher sensitivity and reduced power consumption. In this DCA, two supply voltages are utilized, and the second stage is composed of two parallel paths that improve the SNR and provide two gain settings. This circuit is fabricated in the GlobalFoundries 0.13 μm CMOS technology. The measurement results show a power consumption of 2.66 μW for the supply voltage of 0.7 V and of 3.26 μW for the supply voltage of 1.2 V. The single path DCA has a gain of 34 dB with bandwidth of 4 kHz and input noise floor of 25 nV/√Hz. The dual path DCA has a gain of 38 dB with bandwidth of 3 kHz and input noise floor of 40 nV/√Hz. To be able to detect the signal near DC frequencies, another circuit is proposed which has a configurable bandwidth and a sub-μHz noise corner frequency. This circuit is composed of three stages, and three chopping frequencies are used to mitigate the flicker noise of the three stages. The simulated circuit is designed in the GlobalFoundries 0.13 μm CMOS technology with supply voltages of 0.4 V and 1.2 V. The total power consumption is of 6.7 μW. A gain of 68 dB and bandwidths of 1, 10, 100 and 1000 Hz are achieved. The input referred noise floor is of 20.5 nV/√Hz and the design attains a good power efficiency factor of 4.0. In the capacitive mode, the noise floor is of 3.6 zF for a 100 fF capacitance sensor

    Solid State Circuits Technologies

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    The evolution of solid-state circuit technology has a long history within a relatively short period of time. This technology has lead to the modern information society that connects us and tools, a large market, and many types of products and applications. The solid-state circuit technology continuously evolves via breakthroughs and improvements every year. This book is devoted to review and present novel approaches for some of the main issues involved in this exciting and vigorous technology. The book is composed of 22 chapters, written by authors coming from 30 different institutions located in 12 different countries throughout the Americas, Asia and Europe. Thus, reflecting the wide international contribution to the book. The broad range of subjects presented in the book offers a general overview of the main issues in modern solid-state circuit technology. Furthermore, the book offers an in depth analysis on specific subjects for specialists. We believe the book is of great scientific and educational value for many readers. I am profoundly indebted to the support provided by all of those involved in the work. First and foremost I would like to acknowledge and thank the authors who worked hard and generously agreed to share their results and knowledge. Second I would like to express my gratitude to the Intech team that invited me to edit the book and give me their full support and a fruitful experience while working together to combine this book
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